Multi-model adaptive control method and system of nonlinear system with growth rate boundedness

A nonlinear system and nonlinear model technology, applied in the field of control, can solve problems such as large transient errors, low identification speed, and system instability

Inactive Publication Date: 2014-12-17
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

[0004] The purpose of the present invention is to provide a multi-model adaptive control method and system for a nonlinear system with a bounded g

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  • Multi-model adaptive control method and system of nonlinear system with growth rate boundedness
  • Multi-model adaptive control method and system of nonlinear system with growth rate boundedness
  • Multi-model adaptive control method and system of nonlinear system with growth rate boundedness

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[0097] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of the present invention. Obviously, what is described here is only a part of the examples of the present invention, not all examples. Based on the implementation of the present invention For example, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0098] In order to facilitate the understanding of the embodiments of the present invention, specific embodiments will be taken as examples for further explanation below in conjunction with the accompanying drawings, and each embodiment does not constitute a limitation to the embodiments of the present invention.

[0099] The invention provides a multi-model self-adaptive control method for a nonlinear system with a bounded growth rate, and controls a nonli...

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Abstract

The invention relates to a multi-model adaptive control method and system of a nonlinear system with growth rate boundedness. The multi-model adaptive control method includes identifying the system by at least one linear model and at least one nonlinear model based on the neural network, wherein the linear models and the nonlinear models correspond to a linear adaptive controller and a nonlinear adaptive controller based on the neural network respectively; switching the optimal controllers to control at each sampling moment on the basis of a performance index switching unit. Compared with a conventional nonlinear multi-model adaptive control method, the limit of nonlinear terms of the nonlinear system is relaxed to the growth rate boundedness, and adaptability of the multi-model adaptive controller is effectively improved.

Description

technical field [0001] The invention relates to a control method and system, in particular to a multi-model adaptive control method and system for a nonlinear system with a bounded growth rate. Background technique [0002] As people pay more and more attention to energy issues and environmental issues, industrial technology is gradually changing from extensive to intensive. The original simple control method for a single device is no longer suitable for increasingly complex large-scale industrial systems. The linear system model established by linearizing a certain operating point is widely used in modern control systems due to its simple structure and easy understanding. However, general industrial systems have different degrees of nonlinear characteristics. The control methods for linear systems can no longer effectively control some complex systems with strong nonlinearity, so it is necessary to design better control methods for nonlinear systems. However, although the ...

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Application Information

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IPC IPC(8): G05B13/04
Inventor 王昕黄淼
Owner SHANGHAI JIAO TONG UNIV
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